Search (112 results, page 6 of 6)

  • × theme_ss:"Suchtaktik"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Zhang, Y.: ¬The influence of mental models on undergraduate students' searching behavior on the Web (2008) 0.00 
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    Abstract
    This article explores the effects of undergraduate students' mental models of the Web on their online searching behavior. Forty-four undergraduate students, mainly freshmen and sophomores, participated in the study. Subjects' mental models of the Web were treated as equally good styles and operationalized as drawings of their perceptions about the Web. Four types of mental models of the Web were identified based on the drawings and the associated descriptions: technical view, functional view, process view, and connection view. In the study, subjects were required to finish two search tasks. Searching behavior was measured from four aspects: navigation and performance, subjects' feelings about tasks and their own performances, query construction, and search patterns. The four mental model groups showed different navigation and querying behaviors, but the differences were not significant. Subjects' satisfaction with their own performances was found to be significantly correlated with the time to complete the task. The results also showed that the familiarity of the task to subjects had a major effect on their ways to start interaction, query construction, and search patterns.
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  2. Xie, I.: Information searching and search models (2009) 0.00 
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    Abstract
    Key terms related to information searching and search models are defined. A historic context is provided to illustrate the evolution of the four main digital environments that users interact with in their search process to offer readers background information regarding the transition from manual information systems to computer-based information retrieval (IR) systems, as well as the transition from intermediary searching to end-user searching. Emphasis is placed on the review of different levels of information searching from search tactics/moves, search strategies, and usage patterns, to search models and associated factors in relation to task, user knowledge structure, IR system design, and social-organization context. Search models are further classified into two types, with one type illustrating information search process (ISP) and the other type emphasizing the factors that influence the process. In addition, unsolved problems and future research are discussed and suggested.
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    a
  3. Ferrández, O.; Izquierdo, R.; Ferrández, S.; Vicedo González, J.L.: Addressing ontology-based question answering with collections of user queries (2009) 0.00 
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    Abstract
    This paper presents QACID an ontology-based Question Answering system applied to the CInema Domain. This system allows users to retrieve information from formal ontologies by using as input queries formulated in natural language. The original characteristic of QACID is the strategy used to fill the gap between users' expressiveness and formal knowledge representation. This approach is based on collections of user queries and offers a simple adaptability to deal with multilingual capabilities, inter-domain portability and changes in user information requirements. All these capabilities permit developing Question Answering applications for actual users. This system has been developed and tested on the Spanish language and using an ontology modelling the cinema domain. The performance level achieved enables the use of the system in real environments.
    Type
    a
  4. Bates, M.J.: Information behavior (2009) 0.00 
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  5. Lucas, W.; Topi, H.: Form and function : the impact of query term and operator usage on Web search results (2002) 0.00 
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    Abstract
    Conventional wisdom holds that queries to information retrieval systems will yield more relevant results if they contain multiple topic-related terms and use Boolean and phrase operators to enhance interpretation. Although studies have shown that the users of Web-based search engines typically enter short, term-based queries and rarely use search operators, little information exists concerning the effects of term and operator usage on the relevancy of search results. In this study, search engine users formulated queries on eight search topics. Each query was submitted to the user-specified search engine, and relevancy ratings for the retrieved pages were assigned. Expert-formulated queries were also submitted and provided a basis for comparing relevancy ratings across search engines. Data analysis based on our research model of the term and operator factors affecting relevancy was then conducted. The results show that the difference in the number of terms between expert and nonexpert searches, the percentage of matching terms between those searches, and the erroneous use of nonsupported operators in nonexpert searches explain most of the variation in the relevancy of search results. These findings highlight the need for designing search engine interfaces that provide greater support in the areas of term selection and operator usage
    Type
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  6. Kim, K.-S.; Allen, B.: Cognitive and task influences on Web searching behavior (2002) 0.00 
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  7. Kim, K.-S.: Effects of emotion control and task on Web searching behavior (2008) 0.00 
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  8. Hsieh-Yee, I.: Research on Web-search behavior (2001) 0.00 
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  9. Xie, H.I.: Shifts of interactive intentions and information-seeking strategies in interactive information retrieval (2000) 0.00 
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  10. Stefl-Mabry, J.: ¬The reality of media preferences : do professional groups vary in awareness? (2005) 0.00 
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  11. Einsporn, N.: Fachinformationen im WWW (2006) 0.00 
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  12. Savolainen, R.: Source preferences in the context of seeking problem-specific information (2008) 0.00 
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